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Hyperpolarized (13)C metabolic imaging detects long-lasting metabolic alterations following mild repetitive traumatic brain injury

Career athletes, active military, and head trauma victims are at increased risk for mild repetitive traumatic brain injury (rTBI), a condition that contributes to the development of epilepsy and neurodegenerative diseases. Standard clinical imaging fails to identify rTBI-induced lesions, and novel n...

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Autores principales: Chaumeil, Myriam, Guglielmetti, Caroline, Qiao, Kai, Tiret, Brice, Ozen, Mustafa, Krukowski, Karen, Nolan, Amber, Paladini, Maria Serena, Lopez, Carlos, Rosi, Susanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462249/
https://www.ncbi.nlm.nih.gov/pubmed/37645937
http://dx.doi.org/10.21203/rs.3.rs-3166656/v1
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author Chaumeil, Myriam
Guglielmetti, Caroline
Qiao, Kai
Tiret, Brice
Ozen, Mustafa
Krukowski, Karen
Nolan, Amber
Paladini, Maria Serena
Lopez, Carlos
Rosi, Susanna
author_facet Chaumeil, Myriam
Guglielmetti, Caroline
Qiao, Kai
Tiret, Brice
Ozen, Mustafa
Krukowski, Karen
Nolan, Amber
Paladini, Maria Serena
Lopez, Carlos
Rosi, Susanna
author_sort Chaumeil, Myriam
collection PubMed
description Career athletes, active military, and head trauma victims are at increased risk for mild repetitive traumatic brain injury (rTBI), a condition that contributes to the development of epilepsy and neurodegenerative diseases. Standard clinical imaging fails to identify rTBI-induced lesions, and novel non-invasive methods are needed. Here, we evaluated if hyperpolarized (13)C magnetic resonance spectroscopic imaging (HP (13)C MRSI) could detect long-lasting changes in brain metabolism 3.5 months post-injury in a rTBI mouse model. Our results show that this metabolic imaging approach can detect changes in cortical metabolism at that timepoint, whereas multimodal MR imaging did not detect any structural or contrast alterations. Using Machine Learning, we further show that HP (13)C MRSI parameters can help classify rTBI vs. Sham and predict long-term rTBI-induced behavioral outcomes. Altogether, our study demonstrates the potential of metabolic imaging to improve detection, classification and outcome prediction of previously undetected rTBI.
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spelling pubmed-104622492023-08-29 Hyperpolarized (13)C metabolic imaging detects long-lasting metabolic alterations following mild repetitive traumatic brain injury Chaumeil, Myriam Guglielmetti, Caroline Qiao, Kai Tiret, Brice Ozen, Mustafa Krukowski, Karen Nolan, Amber Paladini, Maria Serena Lopez, Carlos Rosi, Susanna Res Sq Article Career athletes, active military, and head trauma victims are at increased risk for mild repetitive traumatic brain injury (rTBI), a condition that contributes to the development of epilepsy and neurodegenerative diseases. Standard clinical imaging fails to identify rTBI-induced lesions, and novel non-invasive methods are needed. Here, we evaluated if hyperpolarized (13)C magnetic resonance spectroscopic imaging (HP (13)C MRSI) could detect long-lasting changes in brain metabolism 3.5 months post-injury in a rTBI mouse model. Our results show that this metabolic imaging approach can detect changes in cortical metabolism at that timepoint, whereas multimodal MR imaging did not detect any structural or contrast alterations. Using Machine Learning, we further show that HP (13)C MRSI parameters can help classify rTBI vs. Sham and predict long-term rTBI-induced behavioral outcomes. Altogether, our study demonstrates the potential of metabolic imaging to improve detection, classification and outcome prediction of previously undetected rTBI. American Journal Experts 2023-08-14 /pmc/articles/PMC10462249/ /pubmed/37645937 http://dx.doi.org/10.21203/rs.3.rs-3166656/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Chaumeil, Myriam
Guglielmetti, Caroline
Qiao, Kai
Tiret, Brice
Ozen, Mustafa
Krukowski, Karen
Nolan, Amber
Paladini, Maria Serena
Lopez, Carlos
Rosi, Susanna
Hyperpolarized (13)C metabolic imaging detects long-lasting metabolic alterations following mild repetitive traumatic brain injury
title Hyperpolarized (13)C metabolic imaging detects long-lasting metabolic alterations following mild repetitive traumatic brain injury
title_full Hyperpolarized (13)C metabolic imaging detects long-lasting metabolic alterations following mild repetitive traumatic brain injury
title_fullStr Hyperpolarized (13)C metabolic imaging detects long-lasting metabolic alterations following mild repetitive traumatic brain injury
title_full_unstemmed Hyperpolarized (13)C metabolic imaging detects long-lasting metabolic alterations following mild repetitive traumatic brain injury
title_short Hyperpolarized (13)C metabolic imaging detects long-lasting metabolic alterations following mild repetitive traumatic brain injury
title_sort hyperpolarized (13)c metabolic imaging detects long-lasting metabolic alterations following mild repetitive traumatic brain injury
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462249/
https://www.ncbi.nlm.nih.gov/pubmed/37645937
http://dx.doi.org/10.21203/rs.3.rs-3166656/v1
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